At a Glance
- Tasks: Design and implement innovative data architecture for a leading transportation organisation.
- Company: Forward-thinking company in the transportation sector with a focus on data-driven solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: High visibility role with direct impact on business performance.
- Why this job: Shape enterprise-wide data strategy and drive business transformation with cutting-edge technologies.
- Qualifications: Proven experience in data architecture, analytics, and cloud platforms.
The predicted salary is between 70000 - 90000 £ per year.
We are partnering with a forward-thinking organisation in the transportation sector seeking an experienced Enterprise Data & Analytics Architect to play a pivotal role in shaping and delivering a modern data strategy. This is a high-impact opportunity for a senior data professional to design and lead enterprise-wide data architecture, enabling better decision-making, innovation, and business performance.
The Role
As the Enterprise Data & Analytics Architect, you will be responsible for designing, implementing, and evolving the organisation’s data architecture. You will ensure that data is structured, scalable, secure, and aligned with long-term business objectives. You will work closely with senior stakeholders, IT teams, and analytics professionals to translate business needs into robust and future-proof data solutions.
Key Responsibilities
- Define and deliver strategic data architecture roadmaps aligned to business goals
- Design and optimise data platforms including data warehouses, lakes, and databases
- Develop scalable data models and ensure strong data quality, governance, and security
- Lead the design and implementation of ETL pipelines and data integration solutions
- Simplify and modernise existing data architecture to improve efficiency and cost-effectiveness
- Collaborate with cross-functional teams to meet evolving data and analytics needs
- Provide architectural leadership and governance across projects
- Evaluate and recommend emerging technologies within data and analytics
Skills & Experience
- Proven experience designing enterprise data architectures and data models
- Strong background in data warehousing, analytics, and data engineering
- Experience with modern data platforms such as Azure Databricks, PySpark
- Experience with analytics and reporting technologies such as Power BI or Tableau
- Experience with Snowflake or similar cloud data platforms
- Knowledge of cloud ecosystems (Azure, AWS, or GCP)
- Experience with real-time data technologies (e.g., Kafka or similar)
- Strong understanding of data governance, metadata, and data quality frameworks
- Ability to engage and influence senior business stakeholders
We are looking for a strategic thinker who can link technical solutions to business outcomes and able to simplify complex concepts for diverse audiences. This is a fantastic opportunity to shape an enterprise-wide data strategy, working with cutting-edge cloud and analytics technologies. This is also a high visibility role with direct impact on business transformation in a collaborative and forward-looking environment. We are currently recruiting on a fixed term basis for 2 years. The role is hybrid but will require 3-4 days per week in London.
Enterprise Data Architect in London employer: psd group
Join a dynamic and innovative organisation in the transportation sector that values forward-thinking and collaboration. As an Enterprise Data Architect, you will thrive in a supportive work culture that prioritises employee growth and development, offering opportunities to work with cutting-edge technologies while making a significant impact on business transformation. With a hybrid working model based in London, you will enjoy a flexible work environment that fosters creativity and strategic thinking.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise Data Architect in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like psd group before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like psd group.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like psd group.
We think you need these skills to ace Enterprise Data Architect in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at psd group, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to psd group, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab psd group’s attention and show the tangible impact of your work.
How to prepare for a job interview at psd group
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at psd group.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at psd group.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at psd group.
